Open Innovation Model of Student's Research Activities

Autor/inn/en	Dvoryatkina, Svetlana N.; Zhuk, Larisa V.; Smirnov, Evgeniy I.; Khizhnyak, Anastasia V.; Shcherbatykh, Sergey V.
Titel	Open Innovation Model of Student's Research Activities
Quelle	In: Journal of Teacher Education for Sustainability, 23 (2021) 2, S.77-90 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1691-4147
DOI	10.2478/jtes-2021-0018
Schlagwörter	Innovation; Models; Student Research; Science Achievement; Sustainable Development; Learning Processes; Computer Software; Computation; Computer Interfaces; Technology Uses in Education; Artificial Intelligence; Program Implementation + Suchen Sie Ihr Suchwort? Analogiemodell; Studentenforschung; Nachhaltige Entwicklung; Learning process; Lernprozess; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Künstliche Intelligenz
Abstract	The study is aimed to develop the open innovation model of student's research activities based on the adaptation of modern scientific achievements in the context of transition to sustainable development of the education system. It advances a general approach to the design of the structure and implementation of main components of hybrid intelligent system to integrating a production-frame model of knowledge and neural network algorithm for the formation of an individual learning scenario. The software implemented as a hybrid intellectual environment for organizing student's research activities is conventionally represented as a combination of blocks: a graphical user interface; technological core of hybrid learning environment, including a neural network classifier and a training data bank; a system for interaction and activation of third-party software and software and hardware. The technological basis for the individualization of the learning trajectory is the automated construction, forecasting of development and interactive correction of competence-oriented and associated models of a subject area. As a technological core, it uses a hybrid system of interaction between an artificial neural network and an expert system functioning based on a database of research projects. The presented innovation algorithm makes it possible to implement the technology of student's research activities organizing as a process of setting up the generalized constructions of complex knowledge. Further research prospects consist of the program implementation of hybrid intellectual learning environment for the development of student's research activities and its preparation for trial operation. (As Provided).
Anmerkungen	Sciendo, a company of De Gruyter Poland. 32 Zuga Street, 01-811 Warsaw, Poland. Tel: +48-22-701-5015; e-mail: info@sciendo.com; Web site: https://www.sciendo.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01